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Model Library Author Index

This is an listing of authors of the models available in the on-line model library. There is also an alphabetical index, a subject index, and a chronological index .

Adhya, N	Adjiman, C S	Aggarwal, A	Ahmad, M	Alatorre, J
Andersen, E	Anderson, D	Anitescu, M	ARCNET	Aronofsky, J S
Ascher, U M	Audet, C	Averick, B M	Back, T	Balakrishnan, N
Balard, C L	Beasley, J E	Beauvais, J	Belotti, P	Beltramo, M A
Ben-Tal, A	Benson, H P	Bergendorff, H	Berna, T	Bertsekas, D P
Betts, J	Biegler, L T	Birge, J R	Blitzer, C	Boehringer, C
Boger, G M	Bollapragada, S	Bondarenko, A S	Borland	Borndoerfer, R
Bosch, R A	Boussofiane	Box, G E P	Bracken, J	Breton, M
Brimberg, J	Brooke, A	Brown, M	Bryson, A E	Bulirsch, R
Bureau T E	Burkard, R E	Bussieck, M R	Butzer, P L	Capriz, G
Carlson, R C	Carter, R G	Cattaneo, A	CDC	Cesari, L
Chakravarty, S	Chen, C H	Chenery, H B	Cheng, H	Chlond, M J
Cho, B R	Choksi, A M	Chou, C Y	Choypeng, P	Cimatti, G
Claessens, M T	Clark, R H	Coello Coello, C A	Condon, T	Cox, D R
Cox, L H	Dahl, H	Dammert, A	Daniel, R C	Dantzig, G B
Day, R E	de Wetering, A V	de Wolf, D	Deaven, D M	Deb, K
den Hertog, D	Devarajan, S	di Tella, G	Dirkse, S P	Dolan, E D
Doufherty, D	Drud, A S	Dudeney, H E	Duloy, J H	Dutton, J M
Dyson	Edgar, T F	Eiger, G	El-Said, M	Elbers, A W
Eldersveld, S	Ellison, E F D	Erjavec, J	Ermoliev, Y	Esposito, W R
Fair, R C	Fasano, A	Feenstra, R	Ferris, M C	Florios, K
Floudas, C A	Foulds, L R	Fourer, R	Friedman, A	Fulkerson
Fullerton Don	GAMS Development Corporation	Garbiras, M	Gardner, M	Garver, L L
Gasawa, K	Gay, D M	Gdanska, P	Gershovitz, V	Gill, P E
Gilmore, P C	Glenshaw, P	Glowinski, R	Golan, A	Gomory, R E
Goreaux, L M	Goyal, M	Goyal, S K	Graham, R L	Greening, D
Groetschel, M	Grossmann, I E	Gueret, C	Guignard, M	Gumus, Z H
Gunasekaran, A	Gutierrez, R A	Hallet, A J H	Hansen, P	Hansen, T
Hanson, K	Harding, S T	Harjunkoski, I	Harker, P T	Hashimoto, H
Haugland, D	Haverly, C A	Heipcke, S	Hillier, F S	Himmelblau, D M
Hitch, C J	Ho, K M	Ho, Y	Hock, W	Horowitz, J L
Hosoe, N	House, B	Huffman, W	Hunter, W G	Husain, T
IBM	ILOG	IMSL Inc	Infanger, G	Inman, R
Jain, V	Johnson	Jornsten, K	Judge, G	Juenger, M
Kall, P	Kallrath, J	Kalvelagen, E	Kamiya, K	Karisch, S E
Kasnagoklu, H	Kehoe, T	Kelly, J P	Kendrick, D	Kennington, L
Kernighan, B W	Kilkenny, M	Kindleberger, C P	King, A J	Klepeis, J L
Klingman, D	Kocis, G R	Konno, H	Kotz, J	Kreuzer, P
Kucherenko, S	Kuijlaars, A	Kuno, T	Kutcher, G P	Laguna, M
Lasdon, L S	Lawler, E L	Le, Q H	Le-Si, V	Lenstra, J K
Lewis, J	Liberti, L	Lieberman, G J	Lih, K	Linderoth, J
Locke, M	Loebel, A	Lopez de Silanes, F	Louveaux, F V	Lu, Z
Macewan, A	MacGregor, J F	Mackinnon, J	Maculan, N	Mallik, S
Mangasarian, O L	Manne, A S	Maria, G	Markowitz, H M	Markusen, J R
Martello, S	Martikainen T	Mathematica	Mattheij, R M M	Mavrotas, G
McCormick, G P	Meeraus, A	Meeraus, W H	Melton, J W	Meneses, C N
Mennes, L B M	Meyer, C A	Meyer, R R	Michna, M	Miller, D
Miller, M H	Mitra, P	Mladenovic, N	Moon, I	Morari, M
More, J J	Morris, J R	Mulvey, J	Murphy, F H	Murray, W
Murtagh, B A	Napier, A	Nelson, C R	Nemhauser, G L	Nerz, E
Neumaier, A	Ni, H	Norton, R D	O'Brochta, D	O'Mara, G T
Ogura, A	Oliveira, C A S	Ortega, F	Palaniappan, S	Palmer, K H
Panton, D M	Pardalos, P M	Patil, R J	Paules IV, G E	Perroni, C
Pesch, H J	Petersen, C C	Petterson, F	Phillips, M	Phillips, M D
Pindyck, R S	Pinter, J D	Porn, R	Preckel, P V	Primicerio, M
Prins, C	Puakpong, P	Raduchel, W J	Ragavan, R	Ramamurti, M
Raman, R	Ramsey, F P	Reinelt, G	Rendl, F	Richels, R G
Rinnoy Kan, A H G	Robbins, A	Robinson, S	Rohde, S M	Rosenborg, A
Rosenbrock, H H	Rosenthal, R E	Rosenwein, M	Rothschild, B J	Rowse
Russell, R D	Rutherford, T F	Saff, E B	Sahinidis, N	Samuelson
Sandgren, E	Saunders, M A	Savant, M	Scandizzo, P L	Scarf, H
Schittkowski, K	Schoen, D J	Schrijver, A	Schweiger, C A	Serban, R
Sevaux, M	Sharov, A F	Shcherbina, O	Shepotylo, O	Sherali, H D
Shmoys, D B	Shoven, J	Siddall, J N	Silver, E A	Skouras, S
Skrifvars, H	Sloane, N J A	Smeers, Y	Snell, E J	So, K C
Somwaru, A	Soyster, A L	Spencer, J E	Stehouwer, H P	Stinstra, E
Stoutjesdijk, A J	Stutz, J	Suh, J S	Syrquin, M	Tarr, D
Tawarmalani, M	Taylor, L	Tayyabkhan, M T	Teisberg, T J	Tendulkar, S
Thanassoulis	Thienel, S	Thoai, N V	Thompson, G	Thor, S
Thorpe, S	Tierney, L	Tjoa, I B	Torma, H	Toth, P
Trefethen, N	Tsitsiklis, J N	Turkay M.	Turvey, R	van Dijk, N M
Vanderbei, R	Vecchietti, A	Vestjens, A	Vietoriscz, T	Viswanathan, J
von Stryk, O	von Thunen	Voss, S	Wagner, H M	Wall, T W
Wallace, S W	Westerberg, A W	Westerlund, T	Westphal, L E	Wets, R J
Weyant, J P	Whalley, J	Wiens, T B	Williams, H P	Wolfe, P
Wollenberg, B F	Wolsey, L	Wood, A J	Woodruff, D L	Woolsey, R E D
World Bank	Wright, M H	Wright, S I	Xue, G L	Yee, T F
Yli-Olli, P	Zenios, S A	Zimmermann, U T	Zloof, M M	Zwaneveld, P J

Adhya, N

Adhya, N, Tawarmalani, M, and Sahinidis, N, A Lagrangian Approach to the Pooling Problem. Industrial and Engineering Chemical Research 38 (1999), 1956-1972.
Adhya, N, Tawarmalani, M, and Sahinidis, N, Global optimization of the pooling problem. Industrial and Engineering Chemistry 38 (1999), 1956--1972.
Models:

haverly Haverly's pooling problem example
pool Pooling problem

Adjiman, C S

Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
Models:

trimloss Trim Loss Minimization
pump Pump Network Synthesis
methanol Methanol to hydrocarbons COPS 2.0 #13
bchtlbas Trim Loss Minimization with Heuristic using BCH Facility

Aggarwal, A

Aggarwal, A, and Floudas, C A, Synthesis of General Distillation Sequences: Nonsharp Separation. Computers and Chemical Engineering 14, 6 (1990), 631-653.
Models:

nonsharp Synthesis of General Distillation Sequences
nsharpx Synthesis of General Distillation Sequences

Ahmad, M

Ahmad, M, and Kutcher, G P, Irrigation Planning with Environmental Considerations - A Case Study of Pakistans's Indus Basin. Tech. rep., The World Bank, 1992.
Models:

indus89 Indus Basin Water Resource Model

Alatorre, J

Kendrick, D, Meeraus, A, and Alatorre, J, The Planning of Investment Programs in the Steel Industry. The Johns Hopkins University Press, Baltimore and London, 1984.
Models:

mexss Mexico Steel - Small Static
mexsd Mexico Steel - Small Dynamic
mexls Mexico Steel - Large Static

Andersen, E

Andersen, E, MOSEK Optimization Tools Manual, online at http://www.mosek.com/documentation.html.
Models:

qp7 Standard QP Model - conic programming formulation

Anderson, D

Turvey, R, and Anderson, D, Electricity Economics: Essays and Case Studies. Johns Hopkins University Press, Baltimore and London, 1977.
Models:

turkpow Turkey Power Planning Model

Anitescu, M

Anitescu, M, and Serban, R, A Sparse Superlinearly Convergent SQP with Applications to Two-Dimensional Shape Optimization. Tech. rep., Argonne National Laboratory, 1998.
Models:

camshape Shape optimization of a cam COPS 2.0 #4

ARCNET

ARCNET, ARCNET User Guide, Analysis, Research and Computation, Austin, Texas, 1982.
Models:

pdi ARCNET - Production Distribution and Inventory

Aronofsky, J S

Aronofsky, J S, Dutton, J M, and Tayyabkhan, M T, Managerial Planning with Linear Programming. John Wiley and Sons, New York, 1978.
Models:

marco Mini Oil Refining Model

Ascher, U M

Ascher, U M, Mattheij, R M M, and Russell, R D, Numerical Solution of Boundary Value Problems for Ordinary Differential Equations. SIAM, 1995.
Models:

pinene Isometrization of alpha-pinene COPS 2.0 #5
flowchan Flow in a channel COPS 2.0 #7
gasoil Catalytic cracking of gas oil COPS 2.0 #12
methanol Methanol to hydrocarbons COPS 2.0 #13

Audet, C

Audet, C, Brimberg, J, Hansen, P, and Mladenovic, N, Pooling problem: Alternate formulations and solution methods. Tech. rep., Les Cashiers Du GERAD G-2000-23, Montreal, 2000.
Models:

pool Pooling problem

Averick, B M

Averick, B M, Carter, R G, More, J J, and Xue, G L, The MINPACK-2 Test Problem Collection. Tech. rep., Mathematics and Computer Science Division, Argonne National Laboratory, 1992.

Models:

pinene	Isometrization of alpha-pinene COPS 2.0 #5
gasoil	Catalytic cracking of gas oil COPS 2.0 #12
methanol	Methanol to hydrocarbons COPS 2.0 #13
torsion	Elastic-plastic torsion COPS 2.0 #15
jbearing	Journal bearing COPS 2.0 #16

Balakrishnan, N

Kotz, J, and Balakrishnan, N, Continuous Univariate Distributions, Volumes I and II, 2nd Ed.. John Wiley and Sons, 1994.
Models:

mlbeta Fitting of beta distribution through maximum likelihood

Balard, C L

Balard, C L, Fullerton Don, Shoven, J, and Whalley, J, A General Equilibrium Model for Tax Policy Evaluation. University of Chicago Press, 1985.
Models:

gemmge GEMTAP: A general equilibrium model for tax policy

Beasley, J E

Beasley, J E, OR-Library: distributing test problems by electronic mail. Journal of the Operational Research Society 41 (11) (1990), 1069-1072.
Models:

bchmknap Multi knapsack problem using BCH Facility

Beauvais, J

Beauvais, J, Solving the Maximum Queens Chess Problem with OSL. IBM Kingston, EKKNEWS 2 (1991).
Models:

queens Maximum Queens Chess Problem

Belotti, P

Kucherenko, S, Belotti, P, Liberti, L, and Maculan, N, New formulations for the Kissing Number Problem. Tech. rep., LIX Ecole Polytechnique, Palaiseau F-91128, France, 2006.
Models:

knp Kissing Number Problem using Variable Neighborhood Search

Beltramo, M A

Manne, A S, and Beltramo, M A, GTM: An International Gas Trade Model ,International Energy Program Report. Stanford University, 1984.
Models:

gtm International Gas Trade Model

Ben-Tal, A

Ben-Tal, A, Eiger, G, and Gershovitz, V, Global Minimization by Reducing the Duality Gap. Mathematical Programming 63 (1994), 193-212.
Models:

pool Pooling problem

Benson, H P

Benson, H P, and Boger, G M, Multiplicative programming problems: Analysis and efficient point search heuristic. Journal of Optimization Theory and Applications 94 (1997), 487-510.
Models:

lmp3 Linear Multiplicative Model - Type 3

Bergendorff, H

Bergendorff, H, Glenshaw, P, and Meeraus, A, The Planning of Investment Programs in the Paper Industry. Tech. rep., The World Bank, 1980.
Models:

tforss Antalya Forestry Model - Steady State
tfordy Antalya Forestry Model - Dynamic

Berna, T

Berna, T, Locke, M, and Westerberg, A W, A New Approach to Optimization of Chemical Processes. American Institute of Chemical Engineers Journal 26, 1 (1980), 37-43.
Models:

alkyl Simplified Alkylation Process

Bertsekas, D P

Bertsekas, D P, and Tsitsiklis, J N, Parallel and distributed computation: numerical methods. Prentice-Hall, Inc., Upper Saddle River, NJ, USA, 1989.
Models:

jacobi Asynchronous Jacobi Methods

Betts, J

Betts, J, Eldersveld, S, and Huffman, W, Sparse Nonlinear Programming Test Problems. Tech. rep., Boeing Computer Services, 1993.
Models:

lnts Particle steering COPS 2.0 #9

Biegler, L T

Tjoa, I B, and Biegler, L T, Simultaneous Solution and Optimization Strategies for Parameter Estimation of Differential-Algebraic Equations Systems. Ind. Eng. Chem. Res. 30 (1991), 376-385.
Models:

pinene Isometrization of alpha-pinene COPS 2.0 #5
gasoil Catalytic cracking of gas oil COPS 2.0 #12
methanol Methanol to hydrocarbons COPS 2.0 #13

Birge, J R

Birge, J R, and Louveaux, F V, Introduction to Stochastic Programming. Springer, 1997.
Models:

farm The Farmer's Problem formulated for DECIS
clearlak Scenario Reduction: ClearLake exercise

Blitzer, C

Blitzer, C, Meeraus, A, and Stoutjesdijk, A J, A Dynamic model of OPEC Trade and Production. Journal of Development Economics, 2 (1975), 318-335.
Models:

otpop OPEC Trade and Production

Boehringer, C

Boehringer, C, and Rutherford, T F, Carbon taxes with exemptions in an open economy: a general equilibrium analysis of the German tax initiative. Journal of Environmental Economics and Management 32 (2) (1997), 189-203.
Models:

sammge Carbon taxes with exemptions for heavy industry

Boger, G M

Benson, H P, and Boger, G M, Multiplicative programming problems: Analysis and efficient point search heuristic. Journal of Optimization Theory and Applications 94 (1997), 487-510.
Models:

lmp3 Linear Multiplicative Model - Type 3

Bollapragada, S

Bollapragada, S, Cheng, H, Phillips, M, and Garbiras, M, NBC's Optimization Systems Increase Its Revenues and Productivity. Interfaces 31, 1 (2002).
Bollapragada, S, Bussieck, M R, and Mallik, S, Scheduling Commercial Videotapes in Broadcast Television, 2003.
Models:

tvcsched Flow Formulation of the ISCI Rotator Problem

Bondarenko, A S

Rothschild, B J, Sharov, A F, and Bondarenko, A S, Estimating Growth and Mortality in Stage-Structured Populations. Journal of Plankton Research 19 (1997), 1913-1928.
Models:

popdynm Marine population dynamics COPS 2.0 #6

Borland

Borland, Eureka: The Solver, Borland International, Scotts Valley, California, 1987.
Models:

house House Plan Design

Borndoerfer, R

Borndoerfer, R, Groetschel, M, and Loebel, A, Alcuins Transportation Problems and Integer Programming. In Butzer, P L, Ed, Charlemagne and His Heritage: 1200 Years of Civilization and Science in Europe. Brepols, Belgium, 1998, pp. 379-409.
Models:

cross Alcuin's River Crossing

Bosch, R A

Bosch, R A, Peacable Coexisting Armies of Queens. OPTIMA MPS Newsletter, 62 (1999), 6-9.
Bosch, R A, Mindsharpener. Optima MP 70 (2003), 8-9.
Bosch, R A, Monochromatic Squares. Optima MP 71 (2004), 6-7.

Models:

dice	Non-transitive Dice Design
coexx	Peacefully Coexisting Armies of Queens - tight
coex	Peacefully Coexisting Armies of Queens
dicex	Non-transitive Dice Design - Enhanced
dicegrid	MIP Decomposition and Parallel Grid Submission - DICE Example

Boussofiane

Dyson, Thanassoulis, and Boussofiane, A DEA Tutorial. Warwick Business School
Models:

dea Data Envelopment Analysis - DEA

Box, G E P

Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51.
Models:

pinene Isometrization of alpha-pinene COPS 2.0 #5

Bracken, J

Bracken, J, and McCormick, G P, Selected Applications of Nonlinear Programming. John Wiley and Sons, New York, 1968.

Models:

weapons	Weapons Assignment
bid	Bid Evaluation
process	Alkylation Process Optimization
chem	Chemical Equilibrium Problem
ship	Structural Optimization
linear	Linear Regression with Various Criteria
least	Nonlinear Regression Problem
like	Maximum Likelihood Estimation
chance	Chance Constrained Feed Mix Problem
sample	Stratified Sample Design
launch	Launch Vehicle Design and Costing
bidsos	Bid Evaluation with SOS2 Sets

Breton, M

Brimberg, J, Hansen, P, Lih, K, Mladenovic, N, and Breton, M, An Oil Pipeline Design Problem. Operations Research 51 (2) (2003), 228-239.
Models:

bchoil Oil Pipeline Design Problem using BCH Facility

Brimberg, J

Audet, C, Brimberg, J, Hansen, P, and Mladenovic, N, Pooling problem: Alternate formulations and solution methods. Tech. rep., Les Cashiers Du GERAD G-2000-23, Montreal, 2000.
Brimberg, J, Hansen, P, Lih, K, Mladenovic, N, and Breton, M, An Oil Pipeline Design Problem. Operations Research 51 (2) (2003), 228-239.
Models:

pool Pooling problem
bchoil Oil Pipeline Design Problem using BCH Facility

Brooke, A

Brooke, A, Kendrick, D, and Meeraus, A, GAMS: A User's Guide. The Scientific Press, Redwood City, California, 1988.
Brooke, A, Drud, A S, and Meeraus, A, Modeling Systems and Nonlinear Programming in a Research Environment. In Ragavan, R, and Rohde, S M, Eds, Computers in Engineering, Vol. III. ACME, 1985.
Models:

water Design of a Water Distribution Network
great Great Circle Distances
waterx Design of a Water Distribution Network (MINLP)

Brown, M

Brown, M, Dammert, A, Meeraus, A, and Stoutjesdijk, A J, Worldwide Investment Analysis - The Case of Aluminum. Tech. rep., The World Bank, 1983.
Models:

alum World Aluminum Model

Bryson, A E

Bryson, A E, and Ho, Y, Applied Optimal Control: Optimization, Estimation, and Control. John Wiley and Sons, 1975.
Bryson, A E, Dynamic Optimization. Addison Wesley, 1999.
Models:

lnts Particle steering COPS 2.0 #9
rocket Goddard rocket COPS 2.0 #10

Bulirsch, R

Bulirsch, R, Ed, Optimal Control. Birkhauser Verlag, 1993.
Models:

glider Hang glider COPS 2.0 #11

Bureau T E

Wright, S I, Le, Q H, Schoen, D J, and Bureau T E, Population Dynamics of an Ac-like Transposable Element in Self- and Cross-Pollinating Arabidopsis. Genetics 158 (2001), 1279-1288.
Models:

herves Herves (Transposable Element) Activity Calculations

Burkard, R E

Burkard, R E, Karisch, S E, and Rendl, F, QAPLIB - A Quadratic Assignment Problem Library. Journal of Global Optimization 10 (1997), 391--403.
Models:

awkqap Input file generation with AWK for the Quadratic Assignment Problem

Bussieck, M R

Bussieck, M R, Optimal Lines in Public Rail Transport. PhD thesis, TU Braunschweig, 1998.
Bussieck, M R, Kreuzer, P, and Zimmermann, U T, Optimal Lines for Railway Systems. European Journal of Operation Research 96, 1 (1996), 54-63.
Bollapragada, S, Bussieck, M R, and Mallik, S, Scheduling Commercial Videotapes in Broadcast Television, 2003.
Bussieck, M R, and Ni, H, Technical Note: Solving the Steiner Tree Problem with GAMS Branch-and-Cut Facility. Tech. rep., GAMS Development Corporation, 2003.
Bussieck, M R, and Ni, H, Technical Note: Solving an Oil Pipeline Design Problem with the GAMS Branch-and-Cut Facility. Tech. rep., GAMS Development Corporation, 2003.

Models:

lop	Line Optimization
tvcsched	Flow Formulation of the ISCI Rotator Problem
bchfcnet	Fixed Cost Network Flow Problem with Cuts using BCH Facility
bchoil	Oil Pipeline Design Problem using BCH Facility

Capriz, G

Capriz, G, and Cimatti, G, Free Boundary Problems in the Theory of Hydrodynamic Lubrication: A Survey. In Fasano, A, and Primicerio, M, Eds, Research Notes in Mathematics. Pitman, 1983, pp. 613-635.
Models:

jbearing Journal bearing COPS 2.0 #16

Carlson, R C

Carlson, R C, and Nemhauser, G L, Scheduling to Minimize Interaction Cost. Operations Research 14 (1966), 52-58.
Models:

nemhaus Scheduling to Minimize Interaction Cost

Carter, R G

Averick, B M, Carter, R G, More, J J, and Xue, G L, The MINPACK-2 Test Problem Collection. Tech. rep., Mathematics and Computer Science Division, Argonne National Laboratory, 1992.

Models:

pinene	Isometrization of alpha-pinene COPS 2.0 #5
gasoil	Catalytic cracking of gas oil COPS 2.0 #12
methanol	Methanol to hydrocarbons COPS 2.0 #13
torsion	Elastic-plastic torsion COPS 2.0 #15
jbearing	Journal bearing COPS 2.0 #16

Cattaneo, A

Robinson, S, Cattaneo, A, and El-Said, M, Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods. Economic System Research 13, 1 (2001).
Models:

cesam Cross Entropy SAM Estimation

CDC

CDC, APEX-III Reference Manual Version 1.2, Control Data Corporation, Minneapolis, 1980. MIP Sample Problem
CDC, IFPS/OPTIMIM - Users Manual, Control Data Corporation, Minneapolis, 1984.
CDC, PDS/APEX Sample Model Library. Control Data Corporation
Models:

prodsch APEX - Production Scheduling Model
port Simple Portfolio Model
ajax Ajax Paper Company Production Schedule
prodschx Production Scheduling Model using SOS1 and SOS2

Cesari, L

Cesari, L, Optimization - Theory and Applications. Springer Verlag, 1983.
Models:

chain Hanging Chain COPS 2.0 #3

Chakravarty, S

Chakravarty, S, Optimum Savings with a Finite Planning Horizon. International Economic Review 3 (1962), 338-355.
Models:

chakra Optimal Growth Model

Chen, C H

Chen, C H, and Chou, C Y, Determining the Optimum Process Mean under a Beta Distribution. Journal of the Chinese Institute of Industrial Engineers 18 (3) (2003), 27--32.
Models:

procmean Optimal Process Mean

Chenery, H B

Chenery, H B, Robinson, S, and Syrquin, M, Eds, Industrialization and Growth: A Comparative Study. Oxford University Press, London, 1986.
Chenery, H B, Ed, Studies of Development Planning. Harvard University Press, 1971.
Chenery, H B, Ed, Structural Change and Development Policy. Oxford University Press, New York and Oxford, 1979.
Models:

chenery Substitution and Structural Change
pak Optimal Patterns of Growth and Aid
westmip Economies of Scale and Investment over Time

Cheng, H

Bollapragada, S, Cheng, H, Phillips, M, and Garbiras, M, NBC's Optimization Systems Increase Its Revenues and Productivity. Interfaces 31, 1 (2002).
Models:

tvcsched Flow Formulation of the ISCI Rotator Problem

Chlond, M J

Chlond, M J, Daniel, R C, and Heipcke, S, Fiveleapers a-leaping. http://www.chlond.demon.co.uk/leapers/
Models:

fiveleap The Five Leaper Tour Problem

Cho, B R

Phillips, M D, and Cho, B R, Determining the Optimum Process Mean under a Beta Distribution. A Nonlinear model for determining the most economic process mean under a beta distribution 7 (2000), 61--74.
Models:

procmean Optimal Process Mean

Choksi, A M

Choksi, A M, Meeraus, A, and Stoutjesdijk, A J, The Planning of Investment Programs in the Fertilizer Industry. The John Hopkins University Press, Baltimore and London, 1980.
Models:

ferts Egypt - Static Fertilizer Model
fertd Egypt - Dynamic Fertilizer Model

Chou, C Y

Chen, C H, and Chou, C Y, Determining the Optimum Process Mean under a Beta Distribution. Journal of the Chinese Institute of Industrial Engineers 18 (3) (2003), 27--32.
Models:

procmean Optimal Process Mean

Choypeng, P

Choypeng, P, Puakpong, P, and Rosenthal, R E, Optimal Ship Routing and Personnel Assignment for Naval Recruitment in Thailand. Interfaces 16, 4 (1986), 356-366.
Models:

thai Thai Navy Problem
thaix Thai Navy Problem Extended

Cimatti, G

Capriz, G, and Cimatti, G, Free Boundary Problems in the Theory of Hydrodynamic Lubrication: A Survey. In Fasano, A, and Primicerio, M, Eds, Research Notes in Mathematics. Pitman, 1983, pp. 613-635.
Models:

jbearing Journal bearing COPS 2.0 #16

Claessens, M T

Claessens, M T, van Dijk, N M, and Zwaneveld, P J, Cost Optimal Allocation of Rail Passenger Lines. European Journal Operation Research 110, 3 (1998), 474-489.
Models:

lop Line Optimization

Clark, R H

Clark, R H, Kennington, L, Meyer, R R, and Ramamurti, M, Generalized Networks: Parallel Algorithms and an Empirical Analysis. ORSA Journal on Computing 4, 2 (1992), 132-145.
Models:

netgen Min Cost Flow with an Instance generated by NETGEN

Coello Coello, C A

Coello Coello, C A, Treating Constraints as Objectives for Single-Objective Evolutionary Optimization. Engineering Optimization 32 (2000), 275-308.
Models:

bearing Hydrostatic Thrust Bearing Design for a Turbogenerator

Condon, T

Condon, T, Dahl, H, and Devarajan, S, Implementing a Computable General equilibrium Model on GAMS - The Cameroon Model. Tech. rep., The World Bank, 1987.

Models:

camcge	Cameroon General Equilibrium Model Using NLP
cammcp	Cameroon General Equilibrium Model Using MCP
cammge	Cameroon General Equilibrium Model Using MPSGE
camcns	Cameroon General Equilibrium Model Using CNS

Cox, D R

Cox, D R, and Snell, E J, Applied Statistics: Principles and Examples. London: Chapman and Hall, 1981.
Models:

mlgamma Maximum Likelihood estimation of parameters of the gamma distribution

Cox, L H

Cox, L H, Kelly, J P, and Patil, R J, Computational Aspects of Controlled Tabular Adjustements: Algorithms and Analaysis. In Golden, B L, Raghavan, S, and Wasil, E A, Eds, The Next Wave in Computing, Optimization, and Decision Technologies. Springer Verlag, 2005, pp. 45-59.
Models:

cta Controlled Tabular Adjustments

Dahl, H

Condon, T, Dahl, H, and Devarajan, S, Implementing a Computable General equilibrium Model on GAMS - The Cameroon Model. Tech. rep., The World Bank, 1987.
Dahl, H, Meeraus, A, and Zenios, S A, Some Financial Optimization Models: Risk Management. In Zenios, S A, Ed, Financial Optimization. Cambridge University Press, New York, NY, 1993.

Models:

camcge	Cameroon General Equilibrium Model Using NLP
immun	Financial Optimization: Risk Management
worst	Financial Optimization: Risk Management
meanvar	Financial Optimization: Risk Management
meanvarx	Financial Optimization: Risk Management
cmo	Financial Optimization: Financial Engineering
tba	Financial Optimization: Financial Engineering
cammcp	Cameroon General Equilibrium Model Using MCP
cammge	Cameroon General Equilibrium Model Using MPSGE
camcns	Cameroon General Equilibrium Model Using CNS
qmeanvar	Financial Optimization: Risk Management using MIQCP
qmeanvag	Portfolio Modeling with Parallel Solutions

Dammert, A

Brown, M, Dammert, A, Meeraus, A, and Stoutjesdijk, A J, Worldwide Investment Analysis - The Case of Aluminum. Tech. rep., The World Bank, 1983.
Dammert, A, and Palaniappan, S, Modeling Investments in the World Copper Sector. The University of Texas Press, Austin, Texas, 1985.
Models:

alum World Aluminum Model
copper Modeling Investment in the World Copper Industry

Daniel, R C

Chlond, M J, Daniel, R C, and Heipcke, S, Fiveleapers a-leaping. http://www.chlond.demon.co.uk/leapers/
Models:

fiveleap The Five Leaper Tour Problem

Dantzig, G B

Dantzig, G B, Fulkerson, and Johnson, Solution of a Large-Scale Traveling-Salesman Problem. Operations Research 2 (1954), 393-410.
Dantzig, G B, Linear Programming and Extensions. Princeton University Press, Princeton, New Jersey, 1963.
Dantzig, G B, and Wolfe, P, Decomposition principle for linear programs. Operations Research 8 (1960), 101-111.

Models:

trnsport	A Transportation Problem
blend	Blending Problem I
prodmix	A Production Mix Problem
whouse	Simple Warehouse Problem
jobt	On-the-Job Training
sroute	The Shortest Route Problem
diet	Stigler's Nutrition Model
aircraft	Aircraft Allocation Under Uncertain Demand
sroutex	Shortest Route Algorithm
mpstrans	MPS file for transportation problem
senstran	Sensitivity analysis using LOOPS
transmcp	Transportation Model as Equilibrium Problem
latin	The Orthogonal Latin-Square Problem
decomp	Decomposition Principle - Animated
airsp	Aircraft Allocation
airsp2	Aircraft Allocation - stochastic optimization with DECIS
tsp42	TSP solution with subtour elimination
feasopt1	An Infeasible Transportation Problem analyzed with Cplex option FeasOpt
trnsgrid	Grid Transportation Problem
danwolfe	Dantzig Wolfe Decomposition and Grid Computing

Day, R E

Day, R E, and Williams, H P, MAGIC: The design and use of an interactive modeling language for mathematical programming. Tech. rep., Department Business Studies, University of Edinburgh, 1982.
Models:

magic Magic Power Scheduling Problem

de Wetering, A V

de Wetering, A V, private communication.
Models:

alphamet Alphametics - a Mathematical Puzzle

de Wolf, D

de Wolf, D, and Smeers, Y, The Gas Transmission Problem Solved by and Extension of the Simplex Algorithm. Management Science 46, 11 (2000), 1454-1465.
Models:

gastrans Gas Transmission Problem - Belgium

Deaven, D M

Morris, J R, Deaven, D M, and Ho, K M, Genetic Algorithm Energy Minimization for Point Charges on a Sphere. Phys. Rev. B. 53 (1996), R1740-R1743.
Models:

elec Distribution of electrons on a sphere COPS 2.0 #2

Deb, K

Deb, K, and Goyal, M, Optimizing Engineering Designs Using a Combined Genetic Search. In Back, T, Ed, Proceedings of the Seventh International Conference on Genetic Algorithms. 1997, pp. 521-528.
Models:

bearing Hydrostatic Thrust Bearing Design for a Turbogenerator
gear Gear Train Design

den Hertog, D

Stinstra, E, den Hertog, D, Stehouwer, H P, and Vestjens, A, Constrained Maximin Designs for Computer Experiments. Technometrics (under revision) (2002).
Models:

maxmin Max Min Location of Points in Unit Square

Devarajan, S

Condon, T, Dahl, H, and Devarajan, S, Implementing a Computable General equilibrium Model on GAMS - The Cameroon Model. Tech. rep., The World Bank, 1987.

Models:

camcge	Cameroon General Equilibrium Model Using NLP
cammcp	Cameroon General Equilibrium Model Using MCP
cammge	Cameroon General Equilibrium Model Using MPSGE
camcns	Cameroon General Equilibrium Model Using CNS

Dirkse, S P

Dirkse, S P, and Ferris, M C, MCPLIB: A Collection of Nonlinear Mixed Complementarity Problems. Optimization Methods and Software 5 (1995), 319-345.
Models:

nash A non-cooperative game: Nash and Stackelberg versions

Dolan, E D

Dolan, E D, and More, J J, Benchmarking Optimization Software with COPS. Tech. rep., Mathematics and Computer Science Division, 2000.

Models:

polygon	Largest small polygon COPS 2.0 #1
elec	Distribution of electrons on a sphere COPS 2.0 #2
chain	Hanging Chain COPS 2.0 #3
camshape	Shape optimization of a cam COPS 2.0 #4
pinene	Isometrization of alpha-pinene COPS 2.0 #5
popdynm	Marine population dynamics COPS 2.0 #6
flowchan	Flow in a channel COPS 2.0 #7
robot	Robot arm COPS 2.0 #8
lnts	Particle steering COPS 2.0 #9
rocket	Goddard rocket COPS 2.0 #10
glider	Hang glider COPS 2.0 #11
gasoil	Catalytic cracking of gas oil COPS 2.0 #12
methanol	Methanol to hydrocarbons COPS 2.0 #13
catmix	Catalyst Mixing COPS 2.0 #14
torsion	Elastic-plastic torsion COPS 2.0 #15
jbearing	Journal bearing COPS 2.0 #16
minsurf	Minimal surface with obstacle COPS 2.0 #17

Doufherty, D

Doufherty, D, and Robbins, A, SED and AWK. O'Reilly & Associates, Sebastobol, 1997.
Models:

seders ERS Data Manipulations with SED

Drud, A S

Brooke, A, Drud, A S, and Meeraus, A, Modeling Systems and Nonlinear Programming in a Research Environment. In Ragavan, R, and Rohde, S M, Eds, Computers in Engineering, Vol. III. ACME, 1985.
Drud, A S, and Rosenborg, A, Dimensioning Water Distribution Networks. Masters thesis, Institute of Mathematical Statistics and Operations Research, Technical University of Denmark, 1973. (in Danish)
Zenios, S A, Drud, A S, and Mulvey, J, Balancing some large Social Accounting Matrices with Nonlinear Programming. Tech. rep., Department of Civil Engineering, Princeton University, 1986.

Models:

water	Design of a Water Distribution Network
sambal	Social Accounting Matrix Balancing Problem
waterx	Design of a Water Distribution Network (MINLP)
qsambal	Social Accounting Matrix Balancing Problem QCP

Dudeney, H E

Dudeney, H E, Amusements in Mathematics. Dover, New York, 1970.
Models:

queens Maximum Queens Chess Problem
knights Maximum Knights Problem

Duloy, J H

Duloy, J H, and O'Mara, G T, Issues of Efficiency and Interdependence in Water Resource Investments: Lessons from the Indus Basin of Pakistan. Tech. rep., The World Bank, 1984.
Models:

iswnm Indus Surface Water Network Submodule
indus Indus Agricultural Model

Dutton, J M

Aronofsky, J S, Dutton, J M, and Tayyabkhan, M T, Managerial Planning with Linear Programming. John Wiley and Sons, New York, 1978.
Models:

marco Mini Oil Refining Model

Dyson

Dyson, Thanassoulis, and Boussofiane, A DEA Tutorial. Warwick Business School
Models:

dea Data Envelopment Analysis - DEA

Edgar, T F

Edgar, T F, Himmelblau, D M, and Lasdon, L S, Optimization of Chemical Processes. McGraw Hill, Boston, 2001.
Models:

gasnet Optimal Design of a Gas Transmission Network

Eiger, G

Ben-Tal, A, Eiger, G, and Gershovitz, V, Global Minimization by Reducing the Duality Gap. Mathematical Programming 63 (1994), 193-212.
Models:

pool Pooling problem

El-Said, M

Robinson, S, Cattaneo, A, and El-Said, M, Updating and Estimating a Social Accounting Matrix Using Cross Entropy Methods. Economic System Research 13, 1 (2001).
Models:

cesam Cross Entropy SAM Estimation

Elbers, A W

Panton, D M, and Elbers, A W, Mission Planning for Synthetic Aperture Radar Surveillance. Interfaces 29, 2 (1999), 73-88.
Models:

swath Mission Planning for Synthetic Aperture Radar Surveillance

Eldersveld, S

Betts, J, Eldersveld, S, and Huffman, W, Sparse Nonlinear Programming Test Problems. Tech. rep., Boeing Computer Services, 1993.
Models:

lnts Particle steering COPS 2.0 #9

Ellison, E F D

Ellison, E F D, and Mitra, P, UIMP - User Interface for Mathematical Programming. ACM Transactions on Mathematical Software 8, 2 (1982).
Models:

uimp UIMP - Production Scheduling Problem

Erjavec, J

Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51.
Models:

pinene Isometrization of alpha-pinene COPS 2.0 #5

Esposito, W R

Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
Models:

trimloss Trim Loss Minimization
pump Pump Network Synthesis
methanol Methanol to hydrocarbons COPS 2.0 #13
bchtlbas Trim Loss Minimization with Heuristic using BCH Facility

Fair, R C

Fair, R C, Specification, Estimation, and Analysis of Macroeconomic Models. Harvard University Press, Cambridge, Mass, 1984.
Models:

hhfair Household Optimization Problem by Fair

Feenstra, R

Markusen, J R, and Feenstra, R, Accounting for Growth with New Inputs. Journal of International Economics (1993).
Models:

dmcmge Accounting for economic growth with new inputs

Ferris, M C

Ferris, M C, Meeraus, A, and Rutherford, T F, Computing Wardropian Equilibria in a Complementarity Framework. Optimization Methods and Software 10 (1999), 669-685.
Dirkse, S P, and Ferris, M C, MCPLIB: A Collection of Nonlinear Mixed Complementarity Problems. Optimization Methods and Software 5 (1995), 319-345.
Models:

traffic Traffic Equilibrium Problem
nash A non-cooperative game: Nash and Stackelberg versions

Florios, K

Florios, K, and Skouras, S, A note on exact computation of max weighted score estimators by mixed integer programming. Tech. rep., National Technical University of Athens and Athens University of Economics and Business, 2007.
Models:

mws Computation of Horowitz�s work-trip mode choice model estimates

Floudas, C A

Floudas, C A, and Paules IV, G E, A Mixed-Integer Nonlinear Programming Formulation for the Synthesis of Heat Integrated Distillation Sequence. Computers and Chemical Engineering 12, 6 (1988), 531-546.
Aggarwal, A, and Floudas, C A, Synthesis of General Distillation Sequences: Nonsharp Separation. Computers and Chemical Engineering 14, 6 (1990), 631-653.
Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
Floudas, C A, and Pardalos, P M, Eds, Frontiers in Global Optimization. Kluwer Academic Publishers, 2003.

Models:

minlphi	Heat Integrated Distillation Sequences
nonsharp	Synthesis of General Distillation Sequences
trimloss	Trim Loss Minimization
pump	Pump Network Synthesis
nsharpx	Synthesis of General Distillation Sequences
minlphix	Heat Integrated Distillation Sequences
methanol	Methanol to hydrocarbons COPS 2.0 #13
kport	Product Portfolio Optimization
bchtlbas	Trim Loss Minimization with Heuristic using BCH Facility

Foulds, L R

Foulds, L R, Haugland, D, and Jornsten, K, A bilinear approach to the pooling problem. Optimization 24 (1992), 165-180.
Models:

pool Pooling problem

Fourer, R

Fourer, R, Modeling Languages Versus Matrix Generators for Linear Programming. ACM Transaction on Mathematical Software 9, 2 (1983), 143-183.
Fourer, R, Gay, D M, and Kernighan, B W, AMPL: A Mathematical Programming Language. Scientific Press, Murray Hill, New Jersey, 1987.
Models:

robert Elementary Production and Inventory Model
ampl AMPL Sample Problem

Friedman, A

Friedman, A, Free Boundary Problems in Science and Technology. Notices Amer. Math. Soc. 47 (2000), 854-861.
Models:

minsurf Minimal surface with obstacle COPS 2.0 #17

Fulkerson

Dantzig, G B, Fulkerson, and Johnson, Solution of a Large-Scale Traveling-Salesman Problem. Operations Research 2 (1954), 393-410.
Models:

tsp42 TSP solution with subtour elimination

Fullerton Don

Balard, C L, Fullerton Don, Shoven, J, and Whalley, J, A General Equilibrium Model for Tax Policy Evaluation. University of Chicago Press, 1985.
Models:

gemmge GEMTAP: A general equilibrium model for tax policy

GAMS Development Corporation

GAMS Development Corporation, Modeling Tool Box.
GAMS Development Corporation, Formulation and Language Example.

Models:

crazy	Examples of Extended Arithmetic
pivot	Simple Gaussian Elimination
gauss	Matrix Inversion with Full Pivoting
repay	Repayment Factors for Loans
gamsrep	The GAMS Model Library
prime	Prime Number Generation
icut	Integer Cut Example
calendar	Calendar Function Examples
gamsutil	Generates some useful files from the Model Library
gmstest	Test sript for library models
absmip	Discontinous functions abs() min() max() sign() as MIPs
gamshtm	HTML generation of model library
slvtest	Solver combination test
holiday	US Holiday and Leave Chart
jdate	Julian date test
licememo	License Memorandum
deploy	GAMS Deployment Model
openpit	Dynamic open pit mining extraction
gsolver	Compare the actual system with the original solver database
lrs	Linear Recursive Sequence Optimization Model
chartdat	Create an example GDX file for the IDE Charting facility
dplytest	A Deployment Test Model
cefiles	Compressed Input Files
encrypt	Input file encyption demo
version1	How to test for a GAMS version
schulz	Termination routine to ensure solvers stay with resource limit
tsp2ltx	TSP tour plotting with LaTeX xy-pic environment

Garbiras, M

Bollapragada, S, Cheng, H, Phillips, M, and Garbiras, M, NBC's Optimization Systems Increase Its Revenues and Productivity. Interfaces 31, 1 (2002).
Models:

tvcsched Flow Formulation of the ISCI Rotator Problem

Gardner, M

Gardner, M, The Colossal Book of Mathematics. WV Norton, New York, NY, 2001.
Models:

dice Non-transitive Dice Design
dicex Non-transitive Dice Design - Enhanced
dicegrid MIP Decomposition and Parallel Grid Submission - DICE Example

Garver, L L

Garver, L L, Power Scheduling by Integer Programming, Tariff-Rates-Power-Generation-Problem. IEEE Trans. Power Apparatus and Systems 81 (1963), 730-735.
Models:

magic Magic Power Scheduling Problem

Gasawa, K

Hosoe, N, Gasawa, K, and Hashimoto, H, Handbook of Computible General Equilibrium Modeling. University of Tokyo Press, Tokyo, Japan, 2004.

Models:

hhmax	A Household Maximization Problem
splcge	A Simple CGE Model
stdcge	A Standard CGE Model
lrgcge	A Large Country CGE Model
twocge	A Two Country CGE Model
moncge	A Monopoly CGE Model
quocge	A CGE Model with Quotas
irscge	A CGE Model with Scale Economy

Gay, D M

Fourer, R, Gay, D M, and Kernighan, B W, AMPL: A Mathematical Programming Language. Scientific Press, Murray Hill, New Jersey, 1987.
Gay, D M, AMPL Models.
Models:

ampl AMPL Sample Problem
polygon Largest small polygon COPS 2.0 #1

Gdanska, P

Michna, M, and Gdanska, P, Winding Factor of Electrica Machines.
Models:

windfac Winding Factor of Electrical Machines

Gershovitz, V

Ben-Tal, A, Eiger, G, and Gershovitz, V, Global Minimization by Reducing the Duality Gap. Mathematical Programming 63 (1994), 193-212.
Models:

pool Pooling problem

Gill, P E

Gill, P E, Murray, W, and Saunders, M A, GAMS/SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization.
Models:

circle Circle Enclosing Points - SNOPT Example

Gilmore, P C

Gilmore, P C, and Gomory, R E, A Linear Programming Approach to the Cutting Stock Problem, {Part I}. Operations Research 9 (1961), 849--859.
Gilmore, P C, and Gomory, R E, A Linear Programming Approach to the Cutting Stock Problem, {Part II}. Operations Research 11 (1963), 863--888.
Models:

cutstock Cutting Stock - A Column Generation Approach

Glenshaw, P

Bergendorff, H, Glenshaw, P, and Meeraus, A, The Planning of Investment Programs in the Paper Industry. Tech. rep., The World Bank, 1980.
Models:

tforss Antalya Forestry Model - Steady State
tfordy Antalya Forestry Model - Dynamic

Glowinski, R

Glowinski, R, Numerical Methods for Nonlinear Variational Problems. Springer Verlag, 1984.
Models:

torsion Elastic-plastic torsion COPS 2.0 #15

Golan, A

Golan, A, Judge, G, and Miller, D, Maximum Entropy Econometrics. John Wiley and Sons, 1996.
Models:

cesam Cross Entropy SAM Estimation

Gomory, R E

Gilmore, P C, and Gomory, R E, A Linear Programming Approach to the Cutting Stock Problem, {Part I}. Operations Research 9 (1961), 849--859.
Gilmore, P C, and Gomory, R E, A Linear Programming Approach to the Cutting Stock Problem, {Part II}. Operations Research 11 (1963), 863--888.
Models:

cutstock Cutting Stock - A Column Generation Approach

Goyal, M

Deb, K, and Goyal, M, Optimizing Engineering Designs Using a Combined Genetic Search. In Back, T, Ed, Proceedings of the Seventh International Conference on Genetic Algorithms. 1997, pp. 521-528.
Models:

bearing Hydrostatic Thrust Bearing Design for a Turbogenerator
gear Gear Train Design

Goyal, S K

Gunasekaran, A, Goyal, S K, Martikainen T, and Yli-Olli, P, Equipment Selection Problems in just-in-time Manufacturing Systems. Journal of the Operational Research Society 44 (1993), 345-353.
Models:

jit Design of Just-in-Time Flowshops

Graham, R L

Graham, R L, The Largest Small Hexagon. J. Combin. Th. 18 (1975), 165-170.
Models:

polygon Largest small polygon COPS 2.0 #1

Greening, D

Wall, T W, Greening, D, and Woolsey, R E D, Solving Complex Chemical Equilibria Using a Geometric-Programming Based Technique. Operations Research 34, 3 (1987).
Models:

wall Chemical Equilibrium Problem
wallmcp Chemical Equilibrium Problem as MCP

Groetschel, M

Borndoerfer, R, Groetschel, M, and Loebel, A, Alcuins Transportation Problems and Integer Programming. In Butzer, P L, Ed, Charlemagne and His Heritage: 1200 Years of Civilization and Science in Europe. Brepols, Belgium, 1998, pp. 379-409.
Models:

cross Alcuin's River Crossing

Grossmann, I E

Kocis, G R, and Grossmann, I E, Relaxation Strategy for the Structural Optimization of Process Flow Sheets. Industrial and Engineering Chemical Research 26, 9 (1987), 1869-1880.
Morari, M, and Grossmann, I E, Eds, Chemical Engineering Optimization Models with GAMS. Computer Aids for Chemical Engineering Corporation, 1991.
Yee, T F, and Grossmann, I E, Simultaneous Optimization of Models for Heat Integration - Heat Exchanger Network Synthesis. Computers and Chemical Engineering 14, 10 (1990), 1165-1184.
Kocis, G R, and Grossmann, I E, Global Optimization of Nonconvex MINLP Problems in Process Synthesis. Industrial and Engineering Chemical Research 27 (1988), 1407-1421.
Raman, R, and Grossmann, I E, Relation between MINLP Modeling and Logical Inverence for Chemical Process Synthesis. Computers and Chemical Engineering 15, 2 (1991), 73-84.
Viswanathan, J, and Grossmann, I E, A Combined Penalty Function and Outer Approximation Method for MINLP Optimization. Computers and Chemical Engineering 14, 7 (1990), 769-782.
Kocis, G R, and Grossmann, I E, Computational Experience with DICOPT Solving Minlp Problems in Process Synthesis. Computers and Chemical Engineering 13, 3 (1989), 307-315.
Westerlund, T, Petterson, F, and Grossmann, I E, Optimization of Pump Configurations as a MINLP Problem. Computers and Chemical Engineering 18, 9 (1994), 845-858.
Jain, V, and Grossmann, I E, Cyclic Scheduling of Continuous Parallel Units with Decaying Performance. American Institute of Chemical Engineers Journal 44, 7 (1998), 1623-1636.
Raman, R, and Grossmann, I E, Modeling and Computational Techniques for Logic Based Integer Programming. Computers and Chemical Engineering 18, 7 (1994), 563-578.
Turkay M., and Grossmann, I E, Logic-Based Algorithms for the Optimal Synthesis of Process Networks. Computers and Chemical Engineering 20, 8 (1996), 959-978.

Models:

procsel	Structural Optimization of Process Flowsheets
synheat	Simultaneous Optimization for Hen Synthesis
minlphi	Heat Integrated Distillation Sequences
batchdes	Optimal Design for Chemical Batch Processing
nonsharp	Synthesis of General Distillation Sequences
reaction	Logical Inference for Reaction path synthesis
feedtray	Optimum Feed Plate Location
hda	Synthesis: Hydrodealkylation of Toluene
pump	Pump Network Synthesis
csched	Cyclic Scheduling of Continuous Parallel Units
minlphix	Heat Integrated Distillation Sequences
logmip1a	LogMIP User's Manual Example 1a - Job Scheduling
logmip1b	LogMIP User's Manual Example 1b - Job Scheduling
logmip1c	LogMIP User's Manual Example 1c - Job Scheduling
logmip3	LogMIP User's Manual Example 3 - Synthesis of 8 Processes
logmip4	LogMIP User's Manual Example 4 - Job Shop Scheduling

Gueret, C

Gueret, C, Prins, C, and Sevaux, M, Applications of Optimization with Xpress-MP, Translated and revised by Susanne Heipcke. Dash Optimization, 2002.
Models:

fiveleap The Five Leaper Tour Problem

Guignard, M

Guignard, M, and Rosenwein, M, An Improved Dual-Based Algorthm for the Generalized Assignment Problem. Operations Research 37 (1989), 658-663.
Models:

gapmin Lagrangian Relaxation of Assignment Problem

Gumus, Z H

Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
Models:

trimloss Trim Loss Minimization
pump Pump Network Synthesis
methanol Methanol to hydrocarbons COPS 2.0 #13
bchtlbas Trim Loss Minimization with Heuristic using BCH Facility

Gunasekaran, A

Gunasekaran, A, Goyal, S K, Martikainen T, and Yli-Olli, P, Equipment Selection Problems in just-in-time Manufacturing Systems. Journal of the Operational Research Society 44 (1993), 345-353.
Models:

jit Design of Just-in-Time Flowshops

Gutierrez, R A

Gutierrez, R A, and Sahinidis, N, A Lagrangian Approach to the Pooling Problem. Interantional J Production Research 34 (1996), 797-818.
Models:

jit Design of Just-in-Time Flowshops

Hansen, P

Audet, C, Brimberg, J, Hansen, P, and Mladenovic, N, Pooling problem: Alternate formulations and solution methods. Tech. rep., Les Cashiers Du GERAD G-2000-23, Montreal, 2000.
Brimberg, J, Hansen, P, Lih, K, Mladenovic, N, and Breton, M, An Oil Pipeline Design Problem. Operations Research 51 (2) (2003), 228-239.
Models:

pool Pooling problem
bchoil Oil Pipeline Design Problem using BCH Facility

Hansen, T

Scarf, H, and Hansen, T, The Computation of Economic Equilibria. Yale University Press, 1973.

Models:

scarfmcp	Scarf's Activity Analysis Example
hansmcp	Hansen's Activity Analysis Example - MCP
hansmge	Hansen's Activity Analysis Example - MPSGE
scarfmge	Tax distortions in a small activity analysis model

Hanson, K

Robinson, S, Kilkenny, M, and Hanson, K, The USDA/ERS Computable General Equilibrium (CGE) Model of the United States. Tech. rep., USDA/ERS, 1990.
Models:

ers82mcp USDA-ERS CGE Model of the US

Harding, S T

Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
Models:

trimloss Trim Loss Minimization
pump Pump Network Synthesis
methanol Methanol to hydrocarbons COPS 2.0 #13
bchtlbas Trim Loss Minimization with Heuristic using BCH Facility

Harjunkoski, I

Harjunkoski, I, Application of MINLP Methods on a Scheduling Problem in the Paper Converting Industry. PhD thesis, Abo Akademi University, 1997.
Harjunkoski, I, Westerlund, T, Porn, R, and Skrifvars, H, Different Transformations for Solving Non-Convex Trim Loss Problems by MINLP. European Journal of Operational Research 105, 3 (1998), 594-603.
Models:

trimloss Trim Loss Minimization
bchtlbas Trim Loss Minimization with Heuristic using BCH Facility

Harker, P T

Harker, P T, Alternative Models of Spatial Competition. Operations Research 34, 3 (1986), 410-425.
Harker, P T, A Variational Inequality Approach for the Determination of Oligopolistic Market Equilibrium. Mathematical Programming 30 (1984), 105-111.
Harker, P T, Accelerating the Convergence of the Diagonalization and Projection Algorithms for Finite--Dimensional Variational Inequalities. Math. Prog. 41 (1988), 29-59.

Models:

harker	Models of Spatial Competition
harkmcp	Models of Spatial Competition in MCP Form
oligomcp	Oligopolistic Competition - Examples from MP
nash	A non-cooperative game: Nash and Stackelberg versions

Hashimoto, H

Hosoe, N, Gasawa, K, and Hashimoto, H, Handbook of Computible General Equilibrium Modeling. University of Tokyo Press, Tokyo, Japan, 2004.

Models:

hhmax	A Household Maximization Problem
splcge	A Simple CGE Model
stdcge	A Standard CGE Model
lrgcge	A Large Country CGE Model
twocge	A Two Country CGE Model
moncge	A Monopoly CGE Model
quocge	A CGE Model with Quotas
irscge	A CGE Model with Scale Economy

Haugland, D

Foulds, L R, Haugland, D, and Jornsten, K, A bilinear approach to the pooling problem. Optimization 24 (1992), 165-180.
Models:

pool Pooling problem

Haverly, C A

Haverly, C A, Studies of the Behavior of Recursion for the Pooling Problem. ACM SIGMAP Bull 25 (1978), 19-28.
Haverly, C A, Behaviour of recursion model - More studies. ACM SIGMAP Bulletin 26 (1979), 22-28.
Models:

haverly Haverly's pooling problem example
pool Pooling problem

Heipcke, S

Chlond, M J, Daniel, R C, and Heipcke, S, Fiveleapers a-leaping. http://www.chlond.demon.co.uk/leapers/
Models:

fiveleap The Five Leaper Tour Problem

Hillier, F S

Hillier, F S, and Lieberman, G J, Introduction to Operations Research. Holden-Day, San Francisco, 1967.
Models:

mst Minimum Spanning Tree

Himmelblau, D M

Edgar, T F, Himmelblau, D M, and Lasdon, L S, Optimization of Chemical Processes. McGraw Hill, Boston, 2001.
Himmelblau, D M, Applied Nonlinear Programming. Mc Graw Hill, New York, 1972.
Models:

himmel16 Area of Hexagon Test Problem
himmel11 Himmelblau Test Problem Number 11
gasnet Optimal Design of a Gas Transmission Network

Ho, K M

Morris, J R, Deaven, D M, and Ho, K M, Genetic Algorithm Energy Minimization for Point Charges on a Sphere. Phys. Rev. B. 53 (1996), R1740-R1743.
Models:

elec Distribution of electrons on a sphere COPS 2.0 #2

Ho, Y

Bryson, A E, and Ho, Y, Applied Optimal Control: Optimization, Estimation, and Control. John Wiley and Sons, 1975.
Models:

lnts Particle steering COPS 2.0 #9

Hock, W

Hock, W, and Schittkowski, K, Test Examples for Nonlinear Programming Codes, Lecture Notes in Economics and Mathematical Systems. Springer Verlag, 1981.
Models:

hs62 Hock - Schittkowski Problem 62

Horowitz, J L

Horowitz, J L, Semiparametric estimation of a work-trip mode choice model. Journal of Econometrics 58, 1-2 (1993), 49-70.
Models:

mws Computation of Horowitz�s work-trip mode choice model estimates

Hosoe, N

Hosoe, N, Gasawa, K, and Hashimoto, H, Handbook of Computible General Equilibrium Modeling. University of Tokyo Press, Tokyo, Japan, 2004.

Models:

hhmax	A Household Maximization Problem
splcge	A Simple CGE Model
stdcge	A Standard CGE Model
lrgcge	A Large Country CGE Model
twocge	A Two Country CGE Model
moncge	A Monopoly CGE Model
quocge	A CGE Model with Quotas
irscge	A CGE Model with Scale Economy

House, B

House, B, Internet Communications.
Models:

pentium Pentium Error Test

Huffman, W

Betts, J, Eldersveld, S, and Huffman, W, Sparse Nonlinear Programming Test Problems. Tech. rep., Boeing Computer Services, 1993.
Models:

lnts Particle steering COPS 2.0 #9

Hunter, W G

Box, G E P, Hunter, W G, MacGregor, J F, and Erjavec, J, Some Problems Associated with the Analysis of Multiresponse Data. Technometrics 15 (1973), 33-51.
Models:

pinene Isometrization of alpha-pinene COPS 2.0 #5

Husain, T

Husain, T, and Inman, R, A Model for Estimating the Effects of Credit pricing on Farm level employment and income distribution. Tech. rep., The World Bank, 1977.
Models:

sarf Farm Credit and Income Distribution Model

IBM

IBM, MPSX/370 Primer. Tech. rep., IBM, 1979.
Models:

ibm1 Aluminum Alloy Smelter Sample Problem

ILOG

ILOG, CPLEX 11 User's Manual, 2007.
Models:

solnpool Cplex Solution Pool for a Simple Facility Location Problem

IMSL Inc

IMSL Inc, LP/PROTRAN - A Problem Solving System for Linear Programming . Tech. rep., IMSL, 1984.
Models:

imsl Piecewise Linear Approximation

Infanger, G

Infanger, G, Planning Under Uncertainty - Solving Large-Scale Stochastic Linear Programs.
Models:

apl1p Stochastic Programming Example for DECIS
apl1pca Stochastic Programming Example for DECIS

Inman, R

Husain, T, and Inman, R, A Model for Estimating the Effects of Credit pricing on Farm level employment and income distribution. Tech. rep., The World Bank, 1977.
Models:

sarf Farm Credit and Income Distribution Model

Jain, V

Jain, V, and Grossmann, I E, Cyclic Scheduling of Continuous Parallel Units with Decaying Performance. American Institute of Chemical Engineers Journal 44, 7 (1998), 1623-1636.
Models:

csched Cyclic Scheduling of Continuous Parallel Units

Johnson

Dantzig, G B, Fulkerson, and Johnson, Solution of a Large-Scale Traveling-Salesman Problem. Operations Research 2 (1954), 393-410.
Models:

tsp42 TSP solution with subtour elimination

Jornsten, K

Foulds, L R, Haugland, D, and Jornsten, K, A bilinear approach to the pooling problem. Optimization 24 (1992), 165-180.
Models:

pool Pooling problem

Judge, G

Golan, A, Judge, G, and Miller, D, Maximum Entropy Econometrics. John Wiley and Sons, 1996.
Models:

cesam Cross Entropy SAM Estimation

Juenger, M

Juenger, M, Reinelt, G, and Thienel, S, Optimal and Probably Good Solutions for the Symmetric Traveling Salesman Problem. Zeitschrift fuer Operations Research 40 (1994), 183--217.
Models:

awktsp Traveling Salesman Problem Instance prepared with AWK

Kall, P

Kall, P, and Wallace, S W, Stochastic Programming. John Wiley and Sons, Chichester, England, 1994.
Models:

kand Stochastic Programming
srkandw Stochastic Programming Scenario Reduction

Kallrath, J

Kallrath, J, Exact Computation of Global Minima of a Nonconvex Portfolio Optimization Problem. In Floudas, C A, and Pardalos, P M, Eds, Frontiers in Global Optimization. Kluwer Academic Publishers, 2003.
Models:

kport Product Portfolio Optimization

Kalvelagen, E

Kalvelagen, E, Model Building with GAMS. forthcoming

Models:

alphamet	Alphametics - a Mathematical Puzzle
qp1	Standard QP Model
qp2	Standard QP Model - symmetry exploitations
qp3	Standard QP Model - intermediate variables
qp4	Standard QP Model - no covariance matrix
qp5	Standard QP Model - linear approximation
tsp1	Traveling Salesman Problem - One
tsp2	Traveling Salesman Problem - Two
tsp3	Traveling Salesman Problem - Three
tsp4	Traveling Salesman Problem - Four
qp6	Standard QP Model - LCP formulation of QP4
qp1x	Standard QP Model with GDX data input
qp7	Standard QP Model - conic programming formulation
qcp1	Standard QP Model QCP

Kamiya, K

Kamiya, K, Computation of Equilibria with Increasing Returns to Scale. Tech. rep., Faculty of Economics, Osaka University, ?.
Models:

harmge Increasing returns with average cost pricing

Karisch, S E

Burkard, R E, Karisch, S E, and Rendl, F, QAPLIB - A Quadratic Assignment Problem Library. Journal of Global Optimization 10 (1997), 391--403.
Models:

awkqap Input file generation with AWK for the Quadratic Assignment Problem

Kasnagoklu, H

Le-Si, V, Scandizzo, P L, and Kasnagoklu, H, Turkey Agricultural Sector Model. Tech. rep., The World Bank, 1982.
Models:

turkey Turkey Agricultural Model with Risk

Kehoe, T

Kehoe, T, A Numerical Investigation of the Multiplicity of Equilibria. Mathematical Programming Study 23 (1985), 240-258.
Models:

kehomge Multiple equilibria in a simple GE model

Kelly, J P

Cox, L H, Kelly, J P, and Patil, R J, Computational Aspects of Controlled Tabular Adjustements: Algorithms and Analaysis. In Golden, B L, Raghavan, S, and Wasil, E A, Eds, The Next Wave in Computing, Optimization, and Decision Technologies. Springer Verlag, 2005, pp. 45-59.
Models:

cta Controlled Tabular Adjustments

Kendrick, D

Kendrick, D, Meeraus, A, and Alatorre, J, The Planning of Investment Programs in the Steel Industry. The Johns Hopkins University Press, Baltimore and London, 1984.
Kendrick, D, Meeraus, A, and Suh, J S, Oil Refinery Modeling with the GAMS language. Tech. rep., Center of Energy Studies, University of Texas, 1981.
Kendrick, D, Chapter 3: A Relational Database of the US Economy. In Kindleberger, C P, and di Tella, G, Eds, Economics in the Long View, Essays in the Honor of W W Rostow. Macmillan, London, 1982.
Kendrick, D, Style in Multisector Modeling. In Hallet, A J H, Ed, Applied Decision Analysis and Economic Behavior. Kluwer and Nijhoff, Boston and The Hague, 1984.
Kendrick, D, and Taylor, L, Numerical methods and Nonlinear Optimizing models for Economic Planning. In Chenery, H B, Ed, Studies of Development Planning. Harvard University Press, 1971.
Kendrick, D, Caution and Probing in a Macroeconomic Model. Journal of Economic Dynamics and Control 4, 2 (1982).
Brooke, A, Kendrick, D, and Meeraus, A, GAMS: A User's Guide. The Scientific Press, Redwood City, California, 1988.

Models:

mexss	Mexico Steel - Small Static
mexsd	Mexico Steel - Small Dynamic
mexls	Mexico Steel - Large Static
marco	Mini Oil Refining Model
rdata	Sample Database of the US Economy
orani	A Miniature Version of Orani 78
chakra	Optimal Growth Model
abel	Linear Quadratic Control Problem
great	Great Circle Distances
qabel	Linear Quadratic Control Problem

Kennington, L

Clark, R H, Kennington, L, Meyer, R R, and Ramamurti, M, Generalized Networks: Parallel Algorithms and an Empirical Analysis. ORSA Journal on Computing 4, 2 (1992), 132-145.
Models:

netgen Min Cost Flow with an Instance generated by NETGEN

Kernighan, B W

Fourer, R, Gay, D M, and Kernighan, B W, AMPL: A Mathematical Programming Language. Scientific Press, Murray Hill, New Jersey, 1987.
Models:

ampl AMPL Sample Problem

Kilkenny, M

Robinson, S, Kilkenny, M, and Hanson, K, The USDA/ERS Computable General Equilibrium (CGE) Model of the United States. Tech. rep., USDA/ERS, 1990.
Models:

ers82mcp USDA-ERS CGE Model of the US

King, A J

King, A J, Stochastic Programming Problems: Examples from the Literature. In Ermoliev, Y, and Wets, R J, Eds, Numerical Techniques for Stochastic Optimization Problems. Springer Verlag, 1988, pp. 543-567.
Models:

prodsp Stochastic Programming Example
prodsp2 Stochastic Programming Example - reformulated for DECIS

Klepeis, J L

Floudas, C A, Pardalos, P M, Adjiman, C S, Esposito, W R, Gumus, Z H, Harding, S T, Klepeis, J L, Meyer, C A, and Schweiger, C A, Handbook of Test Problems in Local and Global Optimization. Kluwer Academic Publishers, 1999.
Models:

trimloss Trim Loss Minimization
pump Pump Network Synthesis
methanol Methanol to hydrocarbons COPS 2.0 #13
bchtlbas Trim Loss Minimization with Heuristic using BCH Facility

Klingman, D

Klingman, D, Napier, A, and Stutz, J, NETGEN: A program for generating large scale capacitated assignment, transportation, and minimum cost flow networks. Management Science 20 (1974), 814-820.
Models:

netgen Min Cost Flow with an Instance generated by NETGEN

Kocis, G R

Kocis, G R, and Grossmann, I E, Relaxation Strategy for the Structural Optimization of Process Flow Sheets. Industrial and Engineering Chemical Research 26, 9 (1987), 1869-1880.
Kocis, G R, and Grossmann, I E, Global Optimization of Nonconvex MINLP Problems in Process Synthesis. Industrial and Engineering Chemical Research 27 (1988), 1407-1421.
Kocis, G R, and Grossmann, I E, Computational Experience with DICOPT Solving Minlp Problems in Process Synthesis. Computers and Chemical Engineering 13, 3 (1989), 307-315.
Models:

procsel Structural Optimization of Process Flowsheets
batchdes Optimal Design for Chemical Batch Processing
hda Synthesis: Hydrodealkylation of Toluene

Konno, H

Konno, H, and Kuno, T, Linear multiplicative programming. Mathematical Programming 56 (1992), 51-64.
Models:

lmp1 Linear Multiplicative Model - Type 1

Kotz, J

Kotz, J, and Balakrishnan, N, Continuous Univariate Distributions, Volumes I and II, 2nd Ed.. John Wiley and Sons, 1994.

tforss	Antalya Forestry Model - Steady State
tfordy	Antalya Forestry Model - Dynamic

farm	The Farmer's Problem formulated for DECIS
clearlak	Scenario Reduction: ClearLake exercise

pool	Pooling problem
bchoil	Oil Pipeline Design Problem using BCH Facility

prodsch	APEX - Production Scheduling Model
port	Simple Portfolio Model
ajax	Ajax Paper Company Production Schedule
prodschx	Production Scheduling Model using SOS1 and SOS2

chenery	Substitution and Structural Change
pak	Optimal Patterns of Growth and Aid
westmip	Economies of Scale and Investment over Time

ferts	Egypt - Static Fertilizer Model
fertd	Egypt - Dynamic Fertilizer Model

alum	World Aluminum Model
copper	Modeling Investment in the World Copper Industry

bearing	Hydrostatic Thrust Bearing Design for a Turbogenerator
gear	Gear Train Design

queens	Maximum Queens Chess Problem
knights	Maximum Knights Problem

iswnm	Indus Surface Water Network Submodule
indus	Indus Agricultural Model

traffic	Traffic Equilibrium Problem
nash	A non-cooperative game: Nash and Stackelberg versions

robert	Elementary Production and Inventory Model
ampl	AMPL Sample Problem

wall	Chemical Equilibrium Problem
wallmcp	Chemical Equilibrium Problem as MCP

himmel16	Area of Hexagon Test Problem
himmel11	Himmelblau Test Problem Number 11
gasnet	Optimal Design of a Gas Transmission Network

apl1p	Stochastic Programming Example for DECIS
apl1pca	Stochastic Programming Example for DECIS

kand	Stochastic Programming
srkandw	Stochastic Programming Scenario Reduction

prodsp	Stochastic Programming Example
prodsp2	Stochastic Programming Example - reformulated for DECIS